Signal 1 Logo

Signal 1

Forward Deployed Engineer

Reposted 2 Months Ago
Be an Early Applicant
Hybrid
Toronto, ON, CAN
Mid level
Hybrid
Toronto, ON, CAN
Mid level
Embed with partner health systems to deploy and customize Signal 1's AI Management System (AIMS). Connect to secure data, build monitoring and governance for predictive, generative, and agentic AI, develop bespoke agentic solutions, coordinate stakeholders, and convert field learnings into reusable platform components to improve safety and reliability in clinical workflows.
The summary above was generated by AI

About us 

Signal 1 helps health systems accelerate AI adoption with a category defining technology platform. Signal 1’s first product, the AI Management System (AIMS), gives health system leaders visibility and control across their growing AI portfolios. AIMS offers comprehensive oversight of predictive and generative AI applications and introduces guardrails to mitigate downside risks. It sets the standard for Responsible AI in healthcare. Purpose-built for healthcare and informed by years of experience managing AI at scale in other industries, Signal 1 empowers healthcare organizations to translate innovation into real clinical, operational, and financial outcomes. Looking ahead, Signal 1 is expanding into agent management to support and accelerate the adoption of agentic AI across healthcare systems, and to build bespoke agentic solutions alongside its partners. Signal 1 is a 30-person, well-funded and rapidly growing startup with strong product market fit and deployments at a growing number of top-20 US and Canadian health systems. We were founded by Tomi Poutanen (former Chief AI Officer at TD Bank, co-founder of the Vector Institute) and Mara Lederman, with early backing from Geoffrey Hinton.  


We deploy by embedding with our partners directly. That's where you come in. 


The role 

As a Forward Deployed Engineer, you own the implementation of Signal 1’s platform, AIMS,  inside a partner health system end to end. You'll embed with their teams, connect to their secure data systems, learn how their AI models and clinical workflows actually work, and build the monitoring and governance that fits them, including bespoke monitors when the standard ones don't.


You'll work closely with hospital stakeholders to earn their trust, understand their problems more deeply than they've articulated them, and spot the opportunities worth building for. What you learn in the field flows back to the platform: the patterns you surface and the tooling you build make our platform better for every partner. Reliability and correctness aren't
features here; they're the job. In healthcare the consequences of failure are categorically different - you'll work at the point where AI safety stops being theoretical and starts being a patient outcome. 
 


What you'll do 

  • Lead the deployment of Signal 1's platform and solutions across multiple health systems 
  • Understand the AI use cases deployed across a health system — predictive, generative, and agentic — recommend the key metrics to monitor for each, and onboard them to AIMS 
  • Coordinate across multiple stakeholders and drive alignment to onboard applications end to end 
  • Work both autonomously and collaboratively with Data, Governance, ML, and Engineering teams — across partner health systems and within Signal 1 
  • Turn recurring patterns from the field into reusable building blocks, feeding what you learn back into the platform so each deployment makes the next one faster 


What we're looking for

 

  • Experience delivering complex AI systems in production or customer-facing settings 
  • Hands-on experience building LLM-based systems 
  • Solid backend development skills, with strong programming experience in Python, Java, or similar 
  • Excellent problem-solving skills and comfort working independently in fast-paced environments 
  • Highly client-facing, with excellent communication skills and a proven ability to build and grow strong client relationships — including with non-technical stakeholders across business and hospital teams 


Nice to have 

  • Direct experience with healthcare data and regulated environments (HIPAA, PHI, on-prem or air-gapped deployments). 
  • Background in clinical informatics or health-tech. 
HQ

Signal 1 Toronto, Ontario, CAN Office

661 University Avenue, Toronto, Ontario, Canada, M5G 1M1

Similar Jobs

3 Days Ago
In-Office or Remote
CA
Entry level
Entry level
Software
Embed with healthcare customers to understand workflows, design and deploy AI-powered solutions, build production systems and integrations, and own deployments from scoping through iteration. Translate ambiguous business requirements into reliable technical architectures, collaborate with Product and Engineering, monitor systems, and identify deployment patterns that inform scalable product and platform improvements.
Top Skills: Agent FrameworksAPIsAWSAzureGCPJavaScriptLlmsPrompt EngineeringPythonTypescriptVector Databases
Entry level
Information Technology • Software
Own customer discovery, identify valuable agentic AI use cases, and build rapid IFS Loops proofs of concept. Partner with account executives on technical validation and collaborate with product and engineering to turn recurring customer needs into platform capabilities. Present solutions to technical and executive audiences, train presales teams globally, and apply product judgment to scope practical PoCs. The role requires presales or solutions engineering experience, hands-on agentic AI expertise, and familiarity with asset-intensive industries.
Top Skills: Agent Evaluation FrameworksAgent StudioAgentic AiAi-Assisted Development ToolsAPIsIfs LoopsLlmsMulti-Agent SystemsRetrieval Systems
3 Days Ago
Remote or Hybrid
CA
Entry level
Entry level
Artificial Intelligence • Automotive • Information Technology • Software
Implement customer projects using Python, machine learning, and deep-learning tools for engineering, physics, CAD, CAE, and manufacturing workflows. Develop proofs of concept, analyze project data, train customer teams, and translate customer feedback into product improvements. The role requires strong engineering and machine-learning knowledge, simulation experience, customer-facing communication, and travel to US customer locations.
Top Skills: CadCaeCfdDeep LearningFemMachine LearningNc PlatformPython

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account